In today's fast-paced technological era, the field of engineering design is experiencing a profound transformation driven by advanced technologies like robotics and artificial intelligence. The British Academy for Training and Development recognizes this shift and highlights the strategic importance of integrating these technologies in engineering design, which redefines traditional approaches, enhances innovation, and offers more accurate and effective solutions.

Robots, once confined to manufacturing and production, have now become essential tools in design due to their ability to perform tasks with exceptional precision and repeatability. They empower engineers to achieve unprecedented levels of efficiency and quality, ultimately accelerating production processes and reducing costs. This evolution opens up new design possibilities that were previously unattainable.

Moreover, artificial intelligence (AI) serves as a key driver of innovation in engineering design. By analyzing vast datasets and generating valuable insights, AI enables engineers to make informed design decisions, uncover hidden patterns, and enhance overall performance.

Who Should Attend?

• Industrial design engineers who seek to apply robotics and AI technologies to improve design and innovation solutions.
• Mechanical and electrical engineers who are interested in using robotics to improve manufacturing and product assembly processes.
• AI researchers who seek to apply their AI expertise to improve engineering design processes.
• Robotics researchers who are interested in understanding how robotics and AI technologies can be integrated into engineering contexts.
• Production managers who seek to apply AI to improve resource management and production data analysis.
• Software engineers who work on developing software that supports the use of robotics and AI in design and engineering, and how AI and robotics technologies can be integrated into engineering software.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Principles of robotics and basic AI techniques, including machine learning, deep learning, and neural networks.
• Using AI in generative design to generate new design options based on specific criteria.
• Using AI tools to analyze and improve engineering performance based on design data.
• The different types of robots used in design and engineering, and how they integrate with design systems.
• Using robots to automate design, manufacturing, and assembly processes to improve efficiency and production quality.
• Using robotics and AI to provide new and innovative design solutions to complex engineering problems.
• Using AI and robotics to improve production and manufacturing processes by reducing errors and increasing speed.
• Technical challenges associated with the integration of robotics and AI in engineering design and how to address them.
• Ethical issues associated with the use of these technologies in design, such as safety, privacy, and their impact on the workforce.

• Introduction to Robotics and Artificial Intelligence
  • Defining the types of robots, basic robotics components, and their applications in industry.
  • Artificial intelligence, machine learning, deep learning, and neural networks.
  • Integrating robotics with artificial intelligence in engineering design applications.
• Applications of robotics in engineering design
  • Using robots to improve generative design methods and create new design models.
  • How to use robots in manufacturing and assembly processes to improve efficiency and quality.
  • Strategies for using robots to achieve extreme accuracy in the design and manufacture of complex parts.
• Applications of artificial intelligence in engineering design
  • Using artificial intelligence to analyze big data and extract valuable insights to improve design.
  • Applying artificial intelligence to improve design performance using techniques such as generative design optimization.
  • Using predictive models to predict design performance under different conditions.
• Integrating robots with artificial intelligence
  • Integrating robots supported by artificial intelligence in engineering design environments.
  • Developing integrated systems that use artificial intelligence to control robots and coordinate their activities.
  • Reviewing real-world applications for integrating robots with artificial intelligence in engineering design.
• Programming tools and techniques
  • Programming languages ​​used in robot programming and developing robotic applications.
  • The basic algorithms used in artificial intelligence and how to apply them in engineering design.
  • Using programming tools to develop innovative solutions that integrate robotics and artificial intelligence.
• Project management and performance evaluation
  • Using artificial intelligence and robotics techniques to improve project planning and management.
  • Developing performance evaluation criteria for design systems supported by artificial intelligence and robotics.
  • Using artificial intelligence to analyze project outcomes and provide recommendations for improving performance.
• Technical and ethical challenges
  • Technical issues that may be encountered when integrating robotics and artificial intelligence into engineering design and how to address them.
  • Discussing ethical issues associated with the use of robotics and artificial intelligence in design, such as privacy and security.